Garden Reads – An offline e-reader with an on-device LLM that explains passages
Garden Reads is an offline e-reader that utilizes an on-device large language model to explain passages. The device is powered by Google's Gemma and runs via LiteRT, allowing users to ask questions about their book without needing an internet connection. This feature is complemented by local dictionaries, translations, and annotations to enhance the reading experience.
- ▪Garden Reads is an offline e-reader with an on-device large language model.
- ▪The device is powered by Google's Gemma and runs via LiteRT.
- ▪It offers features such as local dictionaries, translations, and annotations.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,757 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Garden Reads |
| Canonical URL | https://gardenreads.app/ |
| Publication time | Wed, 29 Jul 2026 12:33:43 +0000 |
| Retrieval time | 2026-07-29T12:54:33.134Z |
| Last seen | 2026-07-29T12:54:33.134Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | EIaixFyZEOxC · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Understand Ask it anything. None of your thoughts leave the app. Powered by Google’s Gemma, running entirely on-device via LiteRT. Select a word or a passage and ask — it answers in the context of your book, with no internet and no account. And paired with dictionaries, translations and annotations, nothing can stop you from getting the most out of your books. Annotations Local AI Dictionaries & Translations
Excerpt limited to ~120 words for fair-use compliance. The full article is at Garden Reads.
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